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Internship Rlhf Jobs in California (NOW HIRING)

AGI Inc

AI Researcher

San Francisco, CA · On-site

You'll lead training for one of the model families that powers our on-device agents: pretraining recipe choices, post-training (SFT, RLHF, DPO, GRPO and whatever the next acronym ends up being ...

Fujitsu

Agentic AI Research Intern

Santa Clara, CA · On-site

$45 - $60/hr

This internship will focus on building intelligent agents and fine-tuning LLMs that assist in end ... Experience fine-tuning LLMs for code (e.g., SFT, DPO/RLHF-style methods, RL) and building training ...

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Internship Rlhf information

What are the key skills and qualifications needed to thrive as an RLHF (Reinforcement Learning from Human Feedback) Intern, and why are they important?

To thrive as an RLHF Intern, you need a solid background in machine learning, statistics, and programming (especially Python), usually supported by ongoing or completed studies in computer science or a related field. Experience with deep learning frameworks (such as TensorFlow or PyTorch), version control systems (like Git), and familiarity with reinforcement learning libraries are typically required. Strong problem-solving abilities, curiosity, and effective teamwork and communication skills help interns contribute meaningfully and learn quickly. These skills and qualities are crucial for successfully developing, evaluating, and improving RLHF models in a collaborative research environment.

What types of projects and tasks can I expect to work on during an RLHF internship?

As an RLHF (Reinforcement Learning from Human Feedback) intern, you can expect to engage in a variety of projects that combine machine learning, data annotation, and model evaluation. Typical tasks include curating and labeling datasets, training and fine-tuning machine learning models using human feedback, and conducting experiments to evaluate model performance. You may also collaborate closely with engineers and researchers, participate in team meetings, and contribute to documentation or research publications. This hands-on experience will help you develop both technical and collaborative skills essential for a career in AI research.

What are Internship RLHF positions?

Internship RLHF positions refer to internships focused on Reinforcement Learning from Human Feedback (RLHF), a cutting-edge area in artificial intelligence research. Interns in RLHF roles typically work on projects that involve training AI models to align with human preferences using feedback data, often in natural language processing or robotics. These internships are usually offered by tech companies or research labs and provide hands-on experience in machine learning, data analysis, and experimental design. RLHF interns often collaborate with experienced researchers and engineers to advance AI systems' safety, reliability, and alignment with human values.

What is the difference between Internship Rlhf vs Research Assistant?

AspectInternship RlhfResearch Assistant
Required CredentialsTypically enrolled students or recent graduatesUsually requires a relevant degree or ongoing education in the field
Work EnvironmentInternship programs, often in academic or research institutionsResearch labs, universities, or research-focused organizations
Employer & Industry UsageUsed by educational institutions and research organizations for trainingCommon in academia, government, and private research sectors
Search & Comparison IntentPeople comparing internship opportunities or entry-level research rolesIndividuals seeking research support or entry-level research positions

Internship Rlhf and Research Assistant roles both involve research activities, but internships are typically short-term training positions for students or recent graduates, while research assistants are more formal, often requiring relevant education and supporting ongoing research projects. Understanding these differences helps candidates choose the right opportunity based on their experience and career goals.

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Internship Rlhf jobs near you
Infographic showing various Internship Rlhf job openings in California as of May 2026, with employment types broken down into 10% Internship, 1% As Needed, 56% Full Time, 30% Part Time, 2% Temporary, and 1% Contract. Highlights an 95% Physical, 3% Hybrid, and 2% Remote job distribution.

2026 Fall Intern, Computer Vision/AI

Samsung Research America Internship

Mountain View, CA

$17.75 - $23.50/hr

Other

Posted 3 days ago

Job description

Lab Summary:

Samsung AI Research Center (SAIC) located in Mountain View, California, is currently recruiting outstanding research interns for the Vision Intelligence lab. Our goal is to perform long-term research with potential for direct impact on future Samsung products reaching hundreds of millions of users worldwide. We are focused on pushing the state-of-the-art in multimodal understanding and generation.

Position Summary: 

In this position, the student will collaborate with leading researchers on a project related to the lab's interests in multimodal (image, video, 3D, text) retrieval, question answering, reasoning, generation and editing.

Position Responsibilities: 

  • Conduct research on multi-modal models in one the above-mentioned area
  • Write maintainable code to implement research ideas
  • Work closely with the team to discuss findings and improve the method
  • Executing experiments, documenting their progress and presenting insights
  • Prepare findings for submission to a major conference or journal

Required Skills:

  • Currently pursuing a MS or PhD degree
  • Experience with programming in Python, Pytorch, Transformers etc.
  • Previous publications in top-tier conference and journals in CV/ML/AI such as CVPR, ECCV, ICCV, ICML, NeurIPS, AAAI
  • Experience in one or more of the following areas:
    • Experience in VLMs including model architecture design, pretraining or post training (SFT, RLHF, GRPO) techniques
    • Experience in diffusion models and other generative AI approaches for image/video/3D domains
    • Experience in design and development of efficient multi-modal models using techniques like knowledge distillation, mixture of experts etc.
    • Experience in Vision Language Action Models (VLA) for Agentic systems in robotics, GUI based task automation etc. 
  • Strong oral and written communication skill

Apply